Develop a strategy optimizer for ATAS

500
ETH, DAI, USDT
+55
0 days (till Apr 10th, 2024)

I'm seeking a developer to create a strategy optimizer for the ATAS trading platform, mirroring the functionality of an existing Google Chrome addon that operates with TradingView (https://chromewebstore.google.com/detail/emcpjechgmpcnjphefjekmdlaljbiegp). The optimizer must be capable of backtesting trading strategies, optimizing strategy parameters, and presenting results in an analyzable format. The application should interface seamlessly with ATAS Latest via its C# API (https://docs.atas.net/en).

Functional Requirements:

Backtesting Trading Strategies and Parameter Optimization:
Automatically retrieve a list of strategy parameters and their types (support for numeric, lists, and checkboxes).Generate a testing range where the starting value is half of the current value, and the ending value is double the current value.Enable saving of the generated testing parameters as a CSV file template for later modification.Allow loading of adjusted parameter ranges from a CSV file.

Optimization Model Configuration:

Enable selection between optimization for maximum or minimum values.Allow users to choose which strategy result metric to optimize for (e.g., Net Profit, Ratio Avg Win/Avg Loss, Sharpe Ratio, Sortino Ratio, etc.) from the complete list available in strategy.Offer a choice of parameter space search strategies (e.g., random, sequential, annealing method).

Result Filtering and Parameter Selection:
Implement filtering to exclude results that do not meet predefined criteria (e.g., a minimum number of trades).Configure the number of cycles for parameter search.Perform automatic parameter selection, storing all results in CSV files post-testing, including error occurrences.

Visualization and Analysis:
Present backtesting results on a 3D chart to analyze the impact of various parameters on the strategy's outcome.

Technical Requirements:

The solution must be developed in C# to ensure compatibility with the ATAS API. Robust error handling and data validation to ensure the application's stability and reliability.Implement a user-friendly interface for easy navigation and operation of the optimizer.

Deliverables:

A fully functional strategy optimizer application for ATAS.Source code with detailed comments.A user manual documenting the usage and features of the application.Technical documentation detailing the system architecture, codebase structure, and integration methods with the ATAS API.

500
ETH, DAI, USDT
+55
0 days (till Apr 10th, 2024)

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